Ted, Here's the query I'm using and the debug info. It's still returning all 5 results back as if it's simply looking for either of the term with q.op set as OR (default).
http://localhost:8983/solr/autophrase?q=text:seat+cushions&wt=xml&debugQuery=true Debug ==== <lst name="debug"> <str name="rawquerystring">text:seat cushions</str> <str name="querystring">text:seat cushions</str> <str name="parsedquery">text:seat text:cushion</str> <str name="parsedquery_toString">text:seat text:cushion</str> <lst name="explain"> <str name="2"> 0.430151 = (MATCH) sum of: 0.11124363 = (MATCH) weight(text:seat in 1) [DefaultSimilarity], result of: 0.11124363 = score(doc=1,freq=1.0 = termFreq=1.0 ), product of: 0.5085423 = queryWeight, product of: 1.0 = idf(docFreq=5, maxDocs=6) 0.5085423 = queryNorm 0.21875 = fieldWeight in 1, product of: 1.0 = tf(freq=1.0), with freq of: 1.0 = termFreq=1.0 1.0 = idf(docFreq=5, maxDocs=6) 0.21875 = fieldNorm(doc=1) 0.31890735 = (MATCH) weight(text:cushion in 1) [DefaultSimilarity], result of: 0.31890735 = score(doc=1,freq=1.0 = termFreq=1.0 ), product of: 0.86103696 = queryWeight, product of: 1.6931472 = idf(docFreq=2, maxDocs=6) 0.5085423 = queryNorm 0.37037593 = fieldWeight in 1, product of: 1.0 = tf(freq=1.0), with freq of: 1.0 = termFreq=1.0 1.6931472 = idf(docFreq=2, maxDocs=6) 0.21875 = fieldNorm(doc=1) </str> <str name="6"> 0.430151 = (MATCH) sum of: 0.11124363 = (MATCH) weight(text:seat in 5) [DefaultSimilarity], result of: 0.11124363 = score(doc=5,freq=1.0 = termFreq=1.0 ), product of: 0.5085423 = queryWeight, product of: 1.0 = idf(docFreq=5, maxDocs=6) 0.5085423 = queryNorm 0.21875 = fieldWeight in 5, product of: 1.0 = tf(freq=1.0), with freq of: 1.0 = termFreq=1.0 1.0 = idf(docFreq=5, maxDocs=6) 0.21875 = fieldNorm(doc=5) 0.31890735 = (MATCH) weight(text:cushion in 5) [DefaultSimilarity], result of: 0.31890735 = score(doc=5,freq=1.0 = termFreq=1.0 ), product of: 0.86103696 = queryWeight, product of: 1.6931472 = idf(docFreq=2, maxDocs=6) 0.5085423 = queryNorm 0.37037593 = fieldWeight in 5, product of: 1.0 = tf(freq=1.0), with freq of: 1.0 = termFreq=1.0 1.6931472 = idf(docFreq=2, maxDocs=6) 0.21875 = fieldNorm(doc=5) </str> <str name="1"> 0.06356779 = (MATCH) product of: 0.12713557 = (MATCH) sum of: 0.12713557 = (MATCH) weight(text:seat in 0) [DefaultSimilarity], result of: 0.12713557 = score(doc=0,freq=1.0 = termFreq=1.0 ), product of: 0.5085423 = queryWeight, product of: 1.0 = idf(docFreq=5, maxDocs=6) 0.5085423 = queryNorm 0.25 = fieldWeight in 0, product of: 1.0 = tf(freq=1.0), with freq of: 1.0 = termFreq=1.0 1.0 = idf(docFreq=5, maxDocs=6) 0.25 = fieldNorm(doc=0) 0.5 = coord(1/2) </str> <str name="3"> 0.06356779 = (MATCH) product of: 0.12713557 = (MATCH) sum of: 0.12713557 = (MATCH) weight(text:seat in 2) [DefaultSimilarity], result of: 0.12713557 = score(doc=2,freq=1.0 = termFreq=1.0 ), product of: 0.5085423 = queryWeight, product of: 1.0 = idf(docFreq=5, maxDocs=6) 0.5085423 = queryNorm 0.25 = fieldWeight in 2, product of: 1.0 = tf(freq=1.0), with freq of: 1.0 = termFreq=1.0 1.0 = idf(docFreq=5, maxDocs=6) 0.25 = fieldNorm(doc=2) 0.5 = coord(1/2) </str> <str name="5"> 0.055621814 = (MATCH) product of: 0.11124363 = (MATCH) sum of: 0.11124363 = (MATCH) weight(text:seat in 4) [DefaultSimilarity], result of: 0.11124363 = score(doc=4,freq=1.0 = termFreq=1.0 ), product of: 0.5085423 = queryWeight, product of: 1.0 = idf(docFreq=5, maxDocs=6) 0.5085423 = queryNorm 0.21875 = fieldWeight in 4, product of: 1.0 = tf(freq=1.0), with freq of: 1.0 = termFreq=1.0 1.0 = idf(docFreq=5, maxDocs=6) 0.21875 = fieldNorm(doc=4) 0.5 = coord(1/2) </str> </lst> <str name="QParser">LuceneQParser</str> Sample data ======== <add> <doc> <field name="id">1</field> <field name="name">Doc 1</field> <field name="text">This has a rear window defroster and really cool bucket seats.</field> </doc> <doc> <field name="id">2</field> <field name="name">Doc 2</field> <field name="text">This one has rear seat cushions and air conditioning – what a ride!</field> </doc> <doc> <field name="id">3</field> <field name="name">Doc 3</field> <field name="text">This one has gold seat belts front and rear.</field> </doc> <doc> <field name="id">4</field> <field name="name">Doc 4</field> <field name="text">This one has front and side air bags and a heated seat.The fan belt never breaks.</field> </doc> <doc> <field name="id">5</field> <field name="name">Doc 5</field> <field name="text">This one has big rear wheels and a seat cushion.It doesn't have a timing belt.</field> </doc> <doc> <field name="id">6</field> <field name="name">Doc 6</field> <field name="text">This one has rear seat with cushions and air conditioning – what a ride!</field> </doc> </add> I tried including AutoPhrasingTokenFilterFactory as part of query analyzer, it didn't make any difference. Let me know if I'm missing something. -- View this message in context: http://lucene.472066.n3.nabble.com/Have-anyone-used-Automatic-Phrase-Tokenization-AutoPhrasingTokenFilterFactory-tp4173808p4174094.html Sent from the Solr - User mailing list archive at Nabble.com.
